Contents
Simple Search
Advanced Search
Other
Using the GLOS Metadata Form
Simple Search
GeoNetwork provides you with two search options. Select the tab in the left navigation for each type.
What?
Simple search allows you to enter free-text searches in a single box. The search engine searches on the following fields
- Title
- Abstract
- Keywords
- Location
- Free text (any metadata field)
The user can enter a search term or string and/or write expressions using the following grammar:
- string (e.g., temperature -- all records that mention temperature)
- string1 string2 (e.g., water temperature --
similar to putting an 'and' between the words, all records that mention both water and temperature anywhere in the record)
- "string1 string2" with quotes around the phrase
(e.g., "water temperature" -- all records with the exact phrase 'water temperature')
Where?
- Map: Use the map to zoom in out or add your own boundaries.
- Region: Choose from a text dropdown list for a specific named region (e.g., Lake Erie)
Reset: will clear the search parameters back to the default values
Search: (or pressing enter) will execute your search
Other Search Parameters
- Options:
- Sort by: Change the way your results sort (e.g., title). Default is 'relevance'.
- Hits per page: Change the number of results that display on a page. Default is 10, max is 100.
- Output: Change whether you want to see the full metadata record including images/maps or just the text. Default is 'full'.
- Narrow your search to a specific category (e.g., water quality) by selecting one of the items in the bulleted list.
Advanced SearchWhat?Advanced search allows you to enter searches in separate boxes as defined below. You can enter terms in multiple boxes.
- Any
- Any - with one of these words > enter one or more words and GN will find records that have either/any of them (e.g., water temperature ... will find records that only have water, records that only have temperature, and records that
have both terms.
- Any - with this exact phrase > enter a series of words but works the same as quotes in a simple search (e.g., "water temperature" ... will find records that only have the word water followed immediately by the word temperature).
- Any - with all of these words > enter words in any order, works the same as an implied "and" between the words (e.g., temperature water ... will find records that have both water and temperature somewhere in the record but does not
need to be next to each other or in that order.
- Any - without these words > used as a not operator, enter words you do not want in the search. Can be used in combination with text in another field
or with other of the 'any' commands (e.g., enter water in 'Any with one of these words' box and temperature in the without box and GN will find all records with
water but that do not have the word temperature anywhere.
- Title
- Abstract
- Keywords
- string (e.g., temperature -- all records that mention temperature)
- string1 string2 (e.g., water temperature --
similar to putting an 'and' between the words, all records that mention both water and temperature anywhere in the record.)
- "string1 string2" with quotes around the phrase
(e.g., "water temperature" -- all records with the exact phrase 'water temperature')
- Map Type: select records that are digital, hardcopy, interactive, or downloadable
- Search Accuracy: select the precision with which you want the search to perform from precise to imprecise. Imprecise searches
will employ an algorithm that truncates words to a greater detail (e.g., Imprecise: searching for temperature will also give
you temperatures (plural); Precise: you would only get records with the singular version of the word).
Where?
- Lat/Lon bounding box and map: Use this section to enter coordinates that match records. You can also use the map to zoom in
out or add your own boundaries.
- Type: Relates to the map whether you want the search to overlap, enclose, be an exact point, or be fully outside of the boundary
or location you entered
- Region: Choose from a text dropdown list for a specific named region (e.g., Lake Erie)
When?
- Various options to search for records that fit a specific date parameter for either the metadata record itself or the temporal
extent of the data. The default is 'anytime'.
Reset: will clear the search parameters back to the default values
Search: (or pressing enter) will execute your search
Other Search Parameters
- Restrict to:
- Catalog: choose the sub-catalog to narrow your search to (e.g., harvested)
- Category: narrow your search to a specific category (e.g., water quality). This is the same as selecting from the bullets
on a simple search
- Status: search for records that fit a specific publish status (e.g., approved)
- Options:
- Sort by: Change the way your results sort (e.g., title). Default is 'relevance'.
- Hits per page: Change the number of results that display on a page. Default is 10, max is 100.
- Output: Change whether you want to see the full metadata record including images/maps or just the text. Default is 'full'.
Other
- In remote search the user can select multiple servers from the list; as an alternative, the user can select a profile; this
automatically selects all servers defined for that profile. For instance, the GeoNetwork profile selects all GeoNetwork servers
providing remote search capabilities.
Since remote Z39.50 transactions can be very slow, the user can define a timeout for the transaction of 10, 20 and 30 seconds.
- To search for content using your browser, use the following syntax:
- by Category: "http://data.glos.us/metadata/srv/eng/main.search?category=observationsBuoys"
- all records, 500 hits per page: "http://data.glos.us/metadata/srv/eng/main.search?hitsPerPage=500&any="
- a specific record: "http://data.glos.us/metadata/srv/eng/metadata.show?id=439"
- by a specific id: "http://data.glos.us/metadata/srv/eng/metadata.show?uuid=4674d03f-3ee4-4414-973d-2d424dd8b8e1"
- a list of titles with a term: "http://data.glos.us/metadata/srv/eng/main.search.suggest?field=title&q=GLERL"
GLOS Metadata Form and Support Documentation
GLOS requires submission of a form (GLOS Metadata Registration Form) for all hosted data (e.g., buoys, stations, datasets).
Form help - use the following definitions to assist in filling out your form. If you are unsure about any value, you can
always contact the GLOS Data Curator at metadata@glos.us. Items in bold are required.
- Type of Dataset: Choose from the dropdown whether you are submitting metadata for a buoy, a station, a tower or you may enter
in your own term.
- Data needs to be available in: Check whether you are asking for data to appear in the GLOS Data Portal, the GLOS GLBuoys site,
whether you are just submitting metadata to display in our GeoNetwork repository. You may also fill in an 'other' option if
none of those fit your circumstances.
- How will GLOS obtain your data? Choose from the dropdown whether you plan on submitting data to us on a routine basis via
ftp. If you are, indicate in the next dropdown whether you are a new user and need an ftp account for GLOS or if you already
have an account/access. Other options for this field are that you need us to work with you on accessing the data from your
site or if you need us to direct users to your site and we will not have data appearing in GLOS tools.
- Full title or name of dataset: Enter the name of your dataset (required). The name or title should be fairly short but descriptive. Generally this is
the exact name that will appear in GLOS products such as the Data Portal, however the Data Curator may decide to enhance,
shorten or change it in order to clarify to the public what the dataset covers.
Example: "Lake Erie Evaporation and Meteorological Data from Long Point"
- Alternate title or abbreviated name of dataset: If you have a shortened title that someone may search for in GeoNetwork. This
field is not searchable in the GLOS Data Portal but the Data Curator may decide to append it to or incorporate it in the full
title.
Example: "Long Point station LNPQ6"
- Existing station ID(s): If your station has alternate identification numbers such as NWS, COOP, etc. enter all that apply
here
- Latitude/Longitude/Elevation: If your data comes from a single geographic location, enter the lat/lon here in decimal format.
You do not need to go more than 5 significant decimal places. If it is an entire region, enter the bounding coordinates in
the 'Other details' box.
Example: "latitude 42.566667; longitude -80.05". If your station is at a particular elevation, fill in the elevation box.
Use the "other location details" as needed.
- Sensors: If you are submitting metadata for a buoy or station, enter a list of all the sensors/parameters you wish displayed
in the GLOS tool(s). Please see our Data Enrollment Guide for a list of sample parameters. Be sure to include any units such as feet vs. meters
Example: wdir1 (wind direction), wvhght (wave height) @ 5m
- Dates: There are three dates which can be used for your metadata - Date created (required), Date published, Date revised. Date created
would be the date your dataset was first created regardless if it was published on that date. If you published it at a different
date, fill in the publish date and/or the revised date. It is perfectly acceptable to only have a date created value.
Example: "Created: 2016-01-20; Published: 2016-10-10; Revised: 2017-01-13"
- Edition or version: If you do have a revised version of your dataset or if it is a beta version. Otherwise, leave blank.
Example: "Rev. 1"
- Abstract: Provide a descriptive abstract (required) detailing what your dataset is about. This field would also be searchable if we
provide access through the GLOS Data Portal. A good size abstract will be around 100 words.
Example: "The Long Point eddy covariance and meteorological station is maintained by Environment Canada and located 30 miles
north of Erie, Pennsylvania on Lake Erie. The station is part of the Great Lakes Evaporation Network (GLEN), which was established
to improve observations of over-lake meteorology and evaporation, to use these observations to provide more accurate projections
of Great Lakes water levels, and to support a variety of stakeholders, including the National Weather Service (NWS), U.S.
and Canadian Coast Guard, recreational boaters and commercial shipping, emergency management officials, and the Great Lakes
research community."
- Purpose: If applicable, provide a short comment on the purpose of this dataset. This would be a good place to enter sponsorship
for the project or other information related to why this project data has been collected.
Example: "To provide Lake Erie evaporation and meteorological measurements from Long Point."
- Status: Choose from the dropdown which value best fits the status of your project. Options: on-going (in progress); completed; historical
archive; obsolete; planned; under development. Generally most GLOS projects will be "on-going", however there may be some
that fit better in the other categories.
- Presentation format: Note whether your data is electronic (digital) or hardcopy or both in the left column, then indicate
which of the types fit your data (image, map, model, table, video or other). Most of the time for GLOS purposes data is electronic
and table.
Example: "Digital / table, map"
- Contacts: This section should be fairly self-explanatory, but enter in your primary contact or contacts here. Required components are
name, role, address and email. Since the form only allows for a single person and since often projects have more than one
PI or contact, use the 'Additional Contacts' box to fill in any additional names. The Individual Role dropdown options are:
point of contact; principal investigator; owner; resource provider, other (and you can fill in a different role).
Example: "Joe Smith; Point of Contact; 123 West Ln, Ann Arbor, MI 48104; joes@me.com"
- Resource maintenance: Choose the appropriate timeframe from the dropdown (required) for 'Maintenance and update frequency'. Options: as needed;
annually; biannually; continual; daily; fortnightly (two weeks); irregular. If appropriate you can also add in the date of
the next update. Fill in the note box if your schedule is other than what is available in the dropdown or if it needs further
explanation.
Example: "As needed; typically done at beginning and end of buoy season."
- Descriptive keywords: Fill in any keywords you think would assist users in searching for your dataset. While this will be
enhanced by the Data Curator, it always helps to know how you believe users would look for your information. We do not require
that you use a controlled vocabulary (one that relies on a thesaurus or keyword list), but if you do use one, indicate so
in the Thesaurus box. Use the top box for subject-type keywords and the bottom for location-based.
Example: "Subject - eddy covariance system, latent heat, GLEN, climate indicators; Location - Lake Erie; Long Point; Great
Lakes"
- Constraints: If your data has any constraints on how it is accessed or used. An access restriction would be something like
only accessible by login or only available to government employees. Please note that GLOS will not publish any data that is
not publicly available although it is acceptable to require users to login. A usage constraint might be something along the
lines of requiring the user to acknowledge the data source in publications. Other constraints along the lines of security
and licensing should also be noted. Options: none; restricted; other. If you indicate any type of constraint it is required
that you also fill in the clarification field.
Example: "Access Constraints detailed in Open Data Licence. https://xxx.yyy.com/access.html "
- Language: Check the language (required) that the dataset and/or host website is in. If it is other than English or French, fill in
the 'other' box.
- Topic category code: Choose from the dropdown the appropriate ISO topic category code (required). The ones most commonly used for GLOS are: inland
waters; climatology, meteorology, atmosphere; environment; oceans. However, you may choose any of the others as well.
- Supplemental information: Fill in anything additional that you feel will provide more information for your dataset such as
height of sensor or data only available during buoy season which is typically spring. Also fill in other details about your
dataset such as that you plan on ftp'ing the data to us.
Example: "Site elevation: 175 m above mean sea level; Instrument height: 32.0m "
- URL: If applicable, provide us with the URL to your data. If you are planning on ftp'ing the data to GLOS, indicate that in
the above supplemental information box.
- Service type: Provide us with details on what we would need if we are accessing your data from a service such as the above
web address (URL), WFS-web feature service, Catalogue service for the web, OpenDAP URL, ncWMS, SOS, etc...
- Offline resource availability: If your dataset is something the user actually has to request from the designated point of
contact or website, indicate specifics on how they are to obtain the data.
Example: Available upon request from the Dept of XYZ at the above contact information.
- Data Quality Section: this section is the hardest part of the form and is required for any dataset that will be published on the GLOS Data Portal
or made available in any of our tools. Generally the easiest way to submit this data is in a table instead of using the form
fields since most will have more than one quality test they are performing. If you are submitting a separate table, check
the box to indicate that and email the table along with your form.
- Type of data: Choose from the dropdown whether your QA/QC is quantitative (measured) or qualitative (characterized or approximated)
data.
- Type of quality test performed: Choose from the dropdown one of the following. The most commonly used ones for our purposes
are bolded below. >
- absolute external positional accuracy: reporting closeness of the coordinate value to values that are accepted as being true. (example: wind direction values to
their positions to a known or accepted-as-true source)
- accuracy of time measurement: reporting errors in time measurement
- completeness commission or completeness omission: reporting presence or absence of features (e.g., whether certain data is being tested for being there (example: testing
for satellite coverage and setting a percent of acceptability on missing values due to cloud cover)
- conceptual consistency: count of items that follow the rules set for the dataset or schema (example: data overlaps within
a certain acceptable range)
- domain consistency: count of items that follow the set of permissible values for the dataset (example: if you have a list
of features that correspond to a number 1, 2, 3 - count of items that are coded appropriately)
- format consistency: count of items that are in the appropriate format such as date or time (example: if you require date in
yyyy-mm-dd)
- gridded data positional accuracy: closeness of gridded data position values to those that are accepted as true
- non-quantitative attribute accuracy: accuracy of non-quantitative values (example: text items from a list of acceptable values)
- quantitative attribute accuracy: accuracy of quantitative (measurable) values (example: testing relative humidity values against manufacturer's accepted
values, or testing whether temperatures fall within an accepted range)
- relative internal positional accuracy: closeness of the position of a value or coordinate in relation to another (example:
a point in relation to a fixed station or known lat/lon)
- temporal consistency: correctness of events or items that require a time sequence
- temporal validity: test of the data with respect to time (example: items with the appropriate date range such as dates on
maps or legends)
- thematic classification correctness: how correct is the spectral information contained in an image (example: use of a spectral
signature for color in a satellite image)
- topological consistency: reports on the validity of topological characteristics of a dataset (example: polygons too small
on a map, lines to close, etc.)
- Name of test: Describe the test you are performing (example: "Test min/max values of wind direction")
- Code: Provide the identifier code that will accompany your test (example: WDIR1)
- Description: A very brief text description for the test (example: "wind direction")
- Evaluation method: Choose from the following options >
- direct external: method of evaluating the quality of a dataset based on inspection of items within the dataset, where reference
data is external to the dataset being evaluated (example: comparing air temperature values with known valid temperatures for
the region for that time period, or comparing valid measures with manufacturer specifications for the instrument)
- direct internal: method of evaluating the quality of a dataset based on inspection of items within the dataset, where all
data required is internal to the dataset being evaluated (example: comparing wave height measurements to other wave data
being collected)
- indirect: method of evaluating the quality of a dataset based on external knowledge (example: knowing that a water temperature
of 120 deg. F would be an invalid measure)
- Evaluation method description: a more in-depth description of how the measurement is being done, typically including instrumentation
manufacturer, model, etc. (example: Young Wind Monitor SE Model 09101)
- Compliance description: describe in as much detail as possible the steps you will take to resolve quality issues with your
data (example: "will report issues within x period of time to GLOS, data will be revised and resubmitted"; or "data will be
flagged in the data as being suspect")
- Additional details: add anything here that will clarify or expand upon your QA/QC
- Metadata information: check whether your metadata could be scraped (programmatically incorporated) into our GeoNetwork instance
and provide a link. Also provide other metadata contact information or other information if appropriate.
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